BSc (Hons) in Bioinformatics
Bioinformatics is the field where biology, computer science, mathematics, statistics and artificial intelligence meet. The BSc (Hons) in Bioinformatics at Deree – The American College of Greece is designed for students who want to understand biological systems through data and use computational approaches to address questions in genomics, molecular biology, public health, biotechnology, drug discovery and personalized medicine.
Students develop a strong foundation in biology, mathematics and computing, then apply that knowledge through programming, database work, artificial intelligence, high-performance computing, laboratory practice, data analysis and a capstone project. The program is delivered face-to-face at the Aghia Paraskevi campus, Athens and is designed to prepare graduates for postgraduate study, research activity and employment in data-driven life-science environments.
Method of program delivery : Face-to-face
Location of program delivery : Aghia Paraskevi campus
Admission Process and Procedures
Validated by The Open University, UK
Programme Specification
Regulations for validated awards
Tuition & Fees
Greek Students
European Union Students
North American Students
What You Will Study-Curriculum
Through a comprehensive interdisciplinary curriculum, which integrates scientific theory, computational methods, hands-on laboratory and data practice, students of the Bioinformatics major will:
- gain a strong foundation in biology, chemistry, mathematics, statistics, computer science and artificial intelligence.
- develop practical skills in programming, data mining, databases, high-performance computing, machine learning and the analysis of complex biological datasets.
- learn how to apply computational and statistical methods to molecular biology, genetics, microbiology, genomics, health information systems and biomedical research.
- build the ability to interpret, visualize and communicate biological data responsibly, while considering the ethical, legal and societal implications of bioinformatics and AI-driven life sciences.
- engage with real-world research questions through laboratory work, computational projects, collaborative assignments, internship opportunities and a final capstone project.
Moreover, students shape their studies through advanced bioinformatics and life-science applications, including:
- Computational Biology: core methods for modelling, analysing and interpreting biological systems and molecular data.
- Genomics and Molecular Life Sciences: study of genetics, molecular biology, microbiology, infectious disease, biophysics, organic and biological chemistry.
- Data Science and Artificial Intelligence: data mining, big data, relational databases, machine learning, R for bioinformatics, artificial intelligence and high-performance computing.
- Health and Biomedical Informatics: application of bioinformatics methods to health information systems, personalized medicine, public health, disease research and biomedical discovery.
- Research and Professional Practice: advanced topics in bioinformatics, a capstone project, and the option to pursue an internship or an advanced elective in areas such as biomedical genetics and genomics, cancer biology, virology or artificial intelligence.
The duration of studies is 4 academic years. The maximum period of registration for an Open University validated award is ten years.
The definition of full-time study is 60 UK credits per semester. 40 UK credits per semester or less is considered part-time.
Career Opportunities
Graduates will be prepared for roles that require the ability to work across life sciences, computing and data analysis. Relevant career directions include bioinformatics analysis, computational biology, genomic data analysis, biomedical data science, health information systems, biological database management, biotechnology and pharmaceutical research support, drug discovery, precision medicine, public health genomics, infectious-disease surveillance, agricultural biotechnology and life-science consulting.
The program also provides a strong foundation for postgraduate study in bioinformatics, computational biology, genomics, biomedical data science, biotechnology, public health, pharmacology and related fields. Graduates may pursue opportunities in academic and research centres, hospitals, public health organizations, biotechnology and pharmaceutical companies, bioinformatics service providers, start-ups, consulting organizations and education, with more advanced scientific roles typically requiring graduate study or specialized professional experience.